Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems
This book presents a series of applications of different techniques found in Industry 4.0 concerning productivity, continuous improvement, quality, decision systems, software development, and automation systems. The techniques used throughout this book allow the reader to replicate the results obtai...
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| Daljnji autori: | , , |
| Format: | Elektronički e-knjiga |
| Jezik: | engleski |
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Springer International Publishing : Imprint: Springer,
2023.
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| Izdanje: | 1st ed. 2023. |
| Serija: | EAI/Springer Innovations in Communication and Computing,
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| Online pristup: | https://doi.org/10.1007/978-3-031-29775-5 |
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| 245 | 1 | 0 | |a Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems |h [electronic resource] / |c edited by Luis Carlos Méndez-González, Luis Alberto Rodríguez-Picón, Iván Juan Carlos Pérez Olguín. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2023. | |
| 300 | |a 1 online resource (X, 338 p. 138 illus.). |b 104 illus. in color. | ||
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| 505 | 0 | |a Chapter 1. Machine Learning and Edge Computing for Industry 4.0 Applications: Concepts and Extensive Review -- Chapter 2. Failure detection system controlled by a mixed reality interface -- Chapter 3. Industry 4.0 in the health sector: System for Melanoma Detection -- Chapter 4. Assistive device based on computer vision -- Chapter 5. Development and Evaluation of a Machine-Learning Model for Prediction of Failures in an Injection Molding Process -- Chapter 6. An approach to select an open source ERP for SMEs based on industry 4.0 and digitization considering the SHERPA and WASPAS method -- Chapter 7. The Technological Role of Steepest Ascent Optimization in Industry 4.0 modeling -- Chapter 8. The role of industry 4.0 technologies in the energy transition: conceptual design of intelligent battery management system based on electrochemical impedance spectroscopy analysis -- Chapter 9. Performance analysis of 8-channel WDM optical network with different Optical Amplifiers for Industry 4.0 -- Chapter 10. Traffic signs configuration with a geo-simulation approach -- Chapter 11. Emotional diagnosis for employees within the framework of Industry 4.0: a case study in Ciudad Juarez -- Chapter 12. Architecture for Initial States Algorithm for Blockchain Scalability in Local OnPrem IIoT Environments -- Chapter 13. Distribution route optimization using Floyd-Warshall weighted graph analysis algorithm with Google Maps integration in industry 4.0 context -- Chapter 14. Feature Selection in Electroencephalographic Signals Using a Multicriteria Decision Analysis Method. | |
| 520 | |a This book presents a series of applications of different techniques found in Industry 4.0 concerning productivity, continuous improvement, quality, decision systems, software development, and automation systems. The techniques used throughout this book allow the reader to replicate the results obtained towards different types of companies that wish to undertake in the new era of the digital industrial revolution. This book can also help students from different engineering areas to understand how new technologies are applied to solve current relevant problems and how they give the possibility of constant innovation in the different industrial sectors. The above is accomplished through the analysis of illustrative case studies, descriptive methodologies, and structured insights provided through the different techniques. Presents applications of techniques found in Industry 4.0 with relation to critical issues in business operation; Includes mathematical andtechnical methodologies applied in cases of study of Industry 4.0; Features applications associated with smart manufacturing in specific scenarios and their resolution through machine learning. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Telecommunication. | |
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Industrial engineering. | |
| 650 | 0 | |a Production engineering. | |
| 650 | 1 | 4 | |a Communications Engineering, Networks. |
| 650 | 2 | 4 | |a Computational Intelligence. |
| 650 | 2 | 4 | |a Industrial and Production Engineering. |
| 700 | 1 | |a Méndez-González, Luis Carlos. |e editor. |0 (orcid)0000-0002-2533-0036 |1 https://orcid.org/0000-0002-2533-0036 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Rodríguez-Picón, Luis Alberto. |e editor. |0 (orcid)0000-0003-2951-2344 |1 https://orcid.org/0000-0003-2951-2344 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Pérez Olguín, Iván Juan Carlos. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031297748 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031297762 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031297779 |
| 830 | 0 | |a EAI/Springer Innovations in Communication and Computing, |x 2522-8609 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-29775-5 |
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| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||